Table 3.
Metric | M | SD | Median | 25% | 75% |
---|---|---|---|---|---|
Performance metrics for neural network model | |||||
Accuracy | 0.694 | 0.076 | 0.667 | 0.667 | 0.688 |
AUC | 0.696 | 0.107 | 0.714 | 0.700 | 0.733 |
Sensitivity | 0.925 | 0.077 | 0.909 | 0.900 | 1.000 |
Specificity | 0.319 | 0.293 | 0.167 | 0.167 | 0.286 |
Performance metrics for ridge regression model | |||||
Accuracy | 0.694 | .096 | 0.611 | 0.611 | 0.647 |
AUC | 0.686 | 0.095 | 0.714 | 0.667 | 0.733 |
Sensitivity | 0.940 | 0.089 | 1.000 | 0.900 | 1.000 |
Specificity | 0.167 | 0.289 | .000 | 0.000 | 0.167 |